Platform demonstrations

AEGLE webinars take a look at Big Data analytics in Healthcare

In February 20th and 22nd and March 15th 2018 AEGLE is launching a series of webinars with the objective of demonstrating how the final prototype of the AEGLE platform supports the use of big data analytics in healthcare.

The tools and analytics that the AEGLE Platform supports can be used for both (clinical) research and clinical practice. The four demos that will take place online through a link that the user receives after registering will demonstrate both uses of the platform. The AEGLE Platform for (Clinical) Researchers can be used for hypothesis testing, developing and improving predictive analytics, and for deriving insights regarding the patients treated in a ward or hospital. The AEGLE Platform for Clinical Practitioners will demonstrate the Clinical Decision Support Dashboard prototype developed for use in Intensive Care Units. It enables clinicians to request real time results from analyses of monitoring data and electronic health record data.

Additionally, the AEGLE platform supports analytics for three applications: the Intensive Care Unit (ICU), chronic diseases such as Diabetes Mellitus Type II and for analysing high throughput sequencing data in Chronic Lymphocytic Leukaemia. These will be the three use cases applied to demonstrate AEGLE platform. AEGLE aims to generate value from the healthcare data value chain data with the vision to improve translational medicine and facilitate personalized and integrated care services overall improving healthcare at all levels, to promote data-driven research across Europe and to serve as an enabler technology platform enabling business growth in the field of big data analytics for healthcare.

The AEGLE platform is being developed in the frame of the AEGLE project, funded by the European Commission under the Horizon2020 programme (www.aegle-uhealth.eu) aiming at revolutionizing integrated and personalised healthcare services by developing an innovative ICT solution for Big Data management in the healthcare sector.